Wavelet steerability: from 2d to 3d.
Nicolas Chenouard, BIG

Seminar • 27 September 2010 • BM 4.233

Abstract
In this presentation a short overview of our latest work on 2d steerable wavelets will first be given. This topic includes monogenic wavelet analysis, generalized Riesz wavelets, wavelet learning and image denoising. We will then focus more extensively on the transfer of these methods to the 3D microscopy world. While maths elegantly fit in n dimensions, we will show that going from Lena to 3D biological images is (unfortunately) not that straightforward. Some current solutions will be presented, while a special emphasis will be put on the issues which are still to be solved and on the possible applications of 3D steerable wavelets in bioimaging.